Back to AIBriefs
LaunchDevelopers

TurboVec open-source vector index compresses 10M documents into 4GB RAM

TurboVec open-source vector index compresses 10M documents into 4GB RAMgithub.com

TurboVec, a Rust vector index with Python bindings, compresses embeddings by 16x using Google's TurboQuant algorithm, fitting a 31GB dataset into 4GB. It searches faster than FAISS and is available on GitHub.

Vector databases are no longer a cloud product. They're becoming a pip install. A new open-source...4 days agoHasan Toor
This is actually wild. Someone just fit 31GB of AI memory into 4GB, running on a MacBook. No...7 days agoVaibhav Sisinty
someone just open-sourced a vector index that fits 10 million documents into just 4gb of ram. it...19 days agoHowToAI
Google just made AI memory 10x cheaper. And the idea is something a 10-year-old could understand. 🤯...6 days agoVaibhav Sisinty
··Discuss
7 days ago
TurboVec open-source vector index compresses 10M documents into 4GB RAM — AIBriefs